[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_322":323,"_324":325},"routes/_app.x.$handle.$name",{"_95":94,"_31":43,"_104":85,"_26":105,"_13":14,"_106":-5,"_11":107,"_108":109,"_110":111,"_112":113,"_114":115,"_20":-5,"_116":-5,"_117":-5,"_118":24,"_119":120,"_121":24,"_122":-5,"_123":-5,"_124":125},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_41":42,"_31":43,"_36":44,"_45":-5,"_46":24,"_47":48,"_49":48,"_50":51,"_52":-5,"_18":53,"_54":55,"_56":57,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":24},"version",20,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":-7,"_23":24,"_25":24,"_26":27,"_28":27},"file",{"_29":30,"_31":27,"_32":33,"_34":35,"_36":37,"_38":14,"_39":40,"_23":24},"previous","deleted",false,"deletedHere","path","prestate_v16_nov.ts","latestPath","fileId","96094aae-ab32-11f1-812b-1607ee4eb77e","name","fileType","script","content","import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\n\ntype Bar = { timestamp:number; open:number; high:number; low:number; close:number; volume?:number };\ntype Pivot = { type:\"H\"|\"L\"; timestamp:number; price:number; index:number };\n\nconst samples=[\"2014-11-04\",\"2014-11-06\",\"2014-11-11\",\"2014-11-13\",\"2014-11-18\",\"2014-11-20\",\"2014-11-25\",\"2014-11-27\"];\n\nfunction emaSeries(closes:number[],period:number):(number|null)[]{\n const out:(number|null)[]=Array(closes.length).fill(null);\n if(closes.lengthbars[i-1].high&&b.high>bars[i-2].high&&b.high>=bars[i+1].high&&b.high>=bars[i+2].high;\n const lo=b.lowa.timestamp-b.timestamp||(a.type===\"L\"?-1:1));\n return r;\n}\nfunction latestN(ps:Pivot[],regime:string){\n const w=regime===\"Up\"?[\"L\",\"H\",\"L\"]:regime===\"Down\"?[\"H\",\"L\",\"H\"]:[];\n if(!w.length)return null;\n for(let i=ps.length-3;i>=0;i--){const t=[ps[i],ps[i+1],ps[i+2]];if(t[0].type===w[0]&&t[1].type===w[1]&&t[2].type===w[2])return t;}\n return null;\n}\nconst iso=(ts:number|null|undefined)=>ts==null?null:new Date(ts).toISOString();\nconst results:any[]=[];\nfor(const sample of samples){\n const t0=new Date(`${sample}T00:00:00Z`);\n const from=new Date(t0.getTime()-16*24*60*60*1000);\n const h1All=await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to:t0},timeframe:\"h1\",format:\"json\",priceType:\"bid\"} as any) as Bar[];\n const m15All=await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to:t0},timeframe:\"m15\",format:\"json\",priceType:\"bid\"} as any) as Bar[];\n const h1f=h1All.filter(b=>Number(b.timestamp)a.timestamp-b.timestamp);\n const m15f=m15All.filter(b=>Number(b.timestamp)a.timestamp-b.timestamp);\n const h1=h1f.slice(-225), m15=m15f.slice(-384);\n if(h1.length<225||m15.length<384){results.push({sample,status:\"DATA_INSUFFICIENT\",h1:h1.length,m15:m15.length});continue;}\n const closes=h1.map(b=>Number(b.close)); const e25s=emaSeries(closes,25), e75s=emaSeries(closes,75); const last=h1.length-1;\n const lastClose=closes[last], e25=e25s[last]!, e75=e75s[last]!, e75m6=e75s[last-6]!;\n let regime=\"Mixed\"; if(lastClose>e25&&e25>e75&&e75>e75m6)regime=\"Up\"; else if(lastClosep.type===ct).slice(-2):[];\n const eligible=regime!==\"Mixed\"&&cp.length===2;\n let slope:null|number=null; if(cp.length===2)slope=(cp[1].price-cp[0].price)/((cp[1].timestamp-cp[0].timestamp)/3600000);\n const mp=pivots(m15); const n=latestN(mp,regime); const wTarget=n?n[2].price+(n[1].price-n[0].price):null;\n const mSignCoherent=regime===\"Up\"?((slope??0)>0):regime===\"Down\"?((slope??0)<0):false;\n const wActiveT0=regime===\"Up\"?(wTarget!=null&&wTarget>lastClose):regime===\"Down\"?(wTarget!=null&&wTargetb.timestamp))),maxM15:iso(Math.max(...m15f.map(b=>b.timestamp))),h1Count:h1.length,m15Count:m15.length,lastClose,ema25:e25,ema75:e75,ema75Minus6h:e75m6,regime,eligible,h1Pivot1:cp[0]?{type:cp[0].type,time:iso(cp[0].timestamp),price:cp[0].price}:null,h1Pivot2:cp[1]?{type:cp[1].type,time:iso(cp[1].timestamp),price:cp[1].price}:null,mSlopePerHour:slope,nPattern:n?n.map(p=>({type:p.type,time:iso(p.timestamp),price:p.price})):null,wTarget,coherencePre:{mSignCoherent,wActiveT0,coherenceEligible:eligible&&mSignCoherent&&wActiveT0},safety:{h1Before:Math.max(...h1f.map(b=>b.timestamp))b.timestamp))b.timestamp>=entryTime&&b.timestampa.timestamp-b.timestamp);\nconst stopBar=ask.find(b=>b.high>=stop)||null;\nconst rows=targets.map(t=>{const tb=ask.find(b=>b.low<=t)||null;let terminal=\"NONE\";if(tb&&stopBar)terminal=tb.timestampstopBar.timestamp?\"STOP_FIRST\":\"AMBIG\";else if(tb)terminal=\"TARGET_FIRST\";else if(stopBar)terminal=\"STOP_FIRST\";return {target:t,gainPips:(entryBid-t)*100,targetTime:tb?new Date(tb.timestamp).toISOString():null,stopTime:stopBar?new Date(stopBar.timestamp).toISOString():null,terminal};});\nconsole.log(JSON.stringify({entryTime:new Date(entryTime).toISOString(),entryBid,stop,rows}));\nexport default rows;\n","label",[142],"6f013316-b4b1-488a-bd87-f41647161a75","tick_stoponly_0925_v15.ts","493eeb62-ab31-11f1-a6a0-1607ee4eb77e",19,["D",1788836359570],"import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\nconst from=new Date(\"2014-09-25T01:30:00Z\"),to=new Date(\"2014-09-25T03:20:00Z\");\nconst entryAsk=178.266,stop=178.079;\nconst ticks:any[]=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to},timeframe:\"tick\",format:\"json\"} as any) as any[]).filter(t=>Number(t.timestamp)>=from.getTime()&&Number(t.timestamp)a.timestamp-b.timestamp);\nconst stopTick=ticks.find(t=>Number(t.bidPrice)<=stop+1e-9)??null;\nconst path=stopTick?ticks.filter(t=>t.timestamp<=stopTick.timestamp):ticks;\nconst minBid=Math.min(...path.map(t=>Number(t.bidPrice))),maxBid=Math.max(...path.map(t=>Number(t.bidPrice)));\nconst result={stopTick:stopTick?{time:new Date(stopTick.timestamp).toISOString(),bid:stopTick.bidPrice,ask:stopTick.askPrice}:null,maePips:(entryAsk-minBid)*100,mfePips:Math.max(0,(maxBid-entryAsk)*100),stopLossPips:(entryAsk-stop)*100,maxBid,minBid};\nconsole.log(JSON.stringify(result));\nexport default result;",[152],"2420d523-0057-447d-8d92-83051f32c30c","tick_exact_0626.ts","7bacdf4e-ab2e-11f1-9e35-1607ee4eb77e",6,["D",1788835155677],"import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\n\nconst entryTime = new Date(\"2014-06-26T00:15:00Z\");\nconst end = new Date(\"2014-06-26T00:43:00Z\");\nconst entryBid = 172.899;\nconst target = 172.874;\nconst stop = 172.972;\nconst ticks:any[] = await getHistoricalRates({\n instrument:\"gbpjpy\",\n dates:{from:entryTime,to:end},\n timeframe:\"tick\",\n format:\"json\"\n} as any) as any[];\nconst clean=ticks.filter(t=>Number(t.timestamp)>=entryTime.getTime()&&Number(t.timestamp)a.timestamp-b.timestamp);\nconst targetTick=clean.find(t=>Number(t.askPrice)<=target);\nconst stopTick=clean.find(t=>Number(t.askPrice)>=stop);\nconst terminal = targetTick && (!stopTick || targetTick.timestampt.timestamp<=terminal.timestamp) : clean;\nconst maxAsk=path.length?Math.max(...path.map(t=>Number(t.askPrice))):null;\nconst minAsk=path.length?Math.min(...path.map(t=>Number(t.askPrice))):null;\nconst maxAskTick=maxAsk==null?null:path.find(t=>Number(t.askPrice)===maxAsk);\nconst minAskTick=minAsk==null?null:path.find(t=>Number(t.askPrice)===minAsk);\nconst result={\n count:clean.length,\n first:clean[0]??null,\n last:clean.at(-1)??null,\n targetTick:targetTick??null,\n stopTick:stopTick??null,\n terminalType: targetTick && (!stopTick || targetTick.timestampNumber(t.timestamp)>=from.getTime()&&Number(t.timestamp)a.timestamp-b.timestamp);\n let stopTick:any=null,targetTick:any=null;\n if(c.side===\"Short\"){\n stopTick=ticks.find(t=>Number(t.askPrice)>=c.stop)??null;\n targetTick=ticks.find(t=>Number(t.askPrice)<=c.target)??null;\n }else{\n stopTick=ticks.find(t=>Number(t.bidPrice)<=c.stop)??null;\n targetTick=ticks.find(t=>Number(t.bidPrice)>=c.target)??null;\n }\n const terminal=targetTick&&(!stopTick||targetTick.timestampt.timestamp<=terminal.timestamp):ticks;\n let mae=null,mfe=null;\n if(c.side===\"Short\"&&path.length){const maxAsk=Math.max(...path.map(t=>Number(t.askPrice))),minAsk=Math.min(...path.map(t=>Number(t.askPrice)));mae=Math.max(0,(maxAsk-c.entry)*100);mfe=Math.max(0,(c.entry-minAsk)*100);}\n if(c.side===\"Long\"&&path.length){const minBid=Math.min(...path.map(t=>Number(t.bidPrice))),maxBid=Math.max(...path.map(t=>Number(t.bidPrice)));mae=Math.max(0,(c.entry-minBid)*100);mfe=Math.max(0,(maxBid-c.entry)*100);}\n out.push({sample:c.sample,side:c.side,count:ticks.length,first:ticks[0]??null,stopTick:stopTick?{time:new Date(stopTick.timestamp).toISOString(),bid:stopTick.bidPrice,ask:stopTick.askPrice}:null,targetTick:targetTick?{time:new Date(targetTick.timestamp).toISOString(),bid:targetTick.bidPrice,ask:targetTick.askPrice}:null,terminal:targetTick&&(!stopTick||targetTick.timestampb.timestampa.timestamp-b.timestamp);\nconst ask1=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:t0,to:end},timeframe:\"m1\",format:\"json\",priceType:\"ask\"} as any) as Bar[]).filter(b=>b.timestampa.timestamp-b.timestamp);\nfunction lineAt(ts:number){return pivot2Price+slope*((ts-pivot2Time)/3600000)}\nfunction dist(b:Bar){const line=lineAt(b.timestamp);return lineb.high?(line-b.high)*100:0;}\nconst first6=bid15.filter(b=>b.timestamp=bid15.length){rows.push({tol,touch:new Date(bid15[ti].timestamp).toISOString(),decision:\"NO_TRIGGER\"});continue;}\n const trig=bid15[gi],entry=bid15[gi+1];const entryBid=entry.open;const stop=trig.high+0.05;\n const pre=ask1.filter(b=>b.timestampb.low<=target);\n const post=ask1.filter(b=>b.timestamp>=entry.timestamp);\n const tb=preHit?undefined:post.find(b=>b.low<=target);const sb=post.find(b=>b.high>=stop);\n let terminal=\"NONE\";if(tb&&sb)terminal=tb.timestamp===sb.timestamp?\"AMBIG\":tb.timestampbars[i-1].high&&b.high>bars[i-2].high&&b.high>=bars[i+1].high&&b.high>=bars[i+2].high;\n const lo=b.lowa.timestamp-b.timestamp||(a.type===\"L\"?-1:1));\n return r;\n}\nfunction latestN(ps:Pivot[],regime:string){\n const w=regime===\"Up\"?[\"L\",\"H\",\"L\"]:regime===\"Down\"?[\"H\",\"L\",\"H\"]:[];\n if(!w.length)return null;\n for(let i=ps.length-3;i>=0;i--){const t=[ps[i],ps[i+1],ps[i+2]];if(t[0].type===w[0]&&t[1].type===w[1]&&t[2].type===w[2])return t;}\n return null;\n}\nconst iso=(ts:number|null|undefined)=>ts==null?null:new Date(ts).toISOString();\nconst results:any[]=[];\nfor(const sample of samples){\n const t0=new Date(`${sample}T00:00:00Z`);\n const from=new Date(t0.getTime()-16*24*60*60*1000);\n const h1All=await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to:t0},timeframe:\"h1\",format:\"json\",priceType:\"bid\"} as any) as Bar[];\n const m15All=await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to:t0},timeframe:\"m15\",format:\"json\",priceType:\"bid\"} as any) as Bar[];\n const h1f=h1All.filter(b=>Number(b.timestamp)a.timestamp-b.timestamp);\n const m15f=m15All.filter(b=>Number(b.timestamp)a.timestamp-b.timestamp);\n const h1=h1f.slice(-225), m15=m15f.slice(-384);\n if(h1.length<225||m15.length<384){results.push({sample,status:\"DATA_INSUFFICIENT\",h1:h1.length,m15:m15.length});continue;}\n const closes=h1.map(b=>Number(b.close)); const e25s=emaSeries(closes,25), e75s=emaSeries(closes,75); const last=h1.length-1;\n const lastClose=closes[last], e25=e25s[last]!, e75=e75s[last]!, e75m6=e75s[last-6]!;\n let regime=\"Mixed\"; if(lastClose>e25&&e25>e75&&e75>e75m6)regime=\"Up\"; else if(lastClosep.type===ct).slice(-2):[];\n const eligible=regime!==\"Mixed\"&&cp.length===2;\n let slope:null|number=null; if(cp.length===2)slope=(cp[1].price-cp[0].price)/((cp[1].timestamp-cp[0].timestamp)/3600000);\n const mp=pivots(m15); const n=latestN(mp,regime); const wTarget=n?n[2].price+(n[1].price-n[0].price):null;\n results.push({sample,status:\"PRESTATE_FROZEN\",t0:t0.toISOString(),maxH1:iso(Math.max(...h1f.map(b=>b.timestamp))),maxM15:iso(Math.max(...m15f.map(b=>b.timestamp))),h1Count:h1.length,m15Count:m15.length,lastClose,ema25:e25,ema75:e75,ema75Minus6h:e75m6,regime,eligible,h1Pivot1:cp[0]?{type:cp[0].type,time:iso(cp[0].timestamp),price:cp[0].price}:null,h1Pivot2:cp[1]?{type:cp[1].type,time:iso(cp[1].timestamp),price:cp[1].price}:null,mSlopePerHour:slope,nPattern:n?n.map(p=>({type:p.type,time:iso(p.timestamp),price:p.price})):null,wTarget,safety:{h1Before:Math.max(...h1f.map(b=>b.timestamp))b.timestamp)) bars[i-1].high && b.high > bars[i-2].high && b.high >= bars[i+1].high && b.high >= bars[i+2].high;\n const isLow = b.low < bars[i-1].low && b.low < bars[i-2].low && b.low <= bars[i+1].low && b.low <= bars[i+2].low;\n // OHLC alone cannot order a same-bar outside pivot. Exclude dual H+L bars from geometry.\n if (isHigh && isLow) continue;\n if (isHigh) result.push({ type: \"H\", timestamp: b.timestamp, price: b.high, index: i });\n if (isLow) result.push({ type: \"L\", timestamp: b.timestamp, price: b.low, index: i });\n }\n result.sort((a,b) => a.timestamp - b.timestamp || (a.type === \"L\" ? -1 : 1));\n return result;\n}\n\nfunction latestN(ps: Pivot[], regime: string) {\n const wanted = regime === \"Up\" ? [\"L\",\"H\",\"L\"] : regime === \"Down\" ? [\"H\",\"L\",\"H\"] : [];\n if (!wanted.length) return null;\n for (let i = ps.length - 3; i >= 0; i--) {\n const tri = [ps[i], ps[i+1], ps[i+2]];\n if (tri[0].type === wanted[0] && tri[1].type === wanted[1] && tri[2].type === wanted[2]) return tri;\n }\n return null;\n}\n\nfunction iso(ts: number | null | undefined) { return ts == null ? null : new Date(ts).toISOString(); }\n\nconst results: any[] = [];\nfor (const sample of samples) {\n const t0 = new Date(`${sample}T00:00:00Z`);\n const from = new Date(t0.getTime() - 16 * 24 * 60 * 60 * 1000);\n const h1All = await getHistoricalRates({ instrument: \"gbpjpy\", dates: { from, to: t0 }, timeframe: \"h1\", format: \"json\", priceType: \"bid\" } as any) as Bar[];\n const m15All = await getHistoricalRates({ instrument: \"gbpjpy\", dates: { from, to: t0 }, timeframe: \"m15\", format: \"json\", priceType: \"bid\" } as any) as Bar[];\n const h1Filtered = h1All.filter((b:any) => Number(b.timestamp) < t0.getTime()).sort((a:any,b:any)=>a.timestamp-b.timestamp);\n const m15Filtered = m15All.filter((b:any) => Number(b.timestamp) < t0.getTime()).sort((a:any,b:any)=>a.timestamp-b.timestamp);\n const h1 = h1Filtered.slice(-225);\n const m15 = m15Filtered.slice(-384);\n if (h1.length < 225 || m15.length < 384) throw new Error(`${sample}: insufficient pre-t0 bars h1=${h1.length} m15=${m15.length}`);\n const closes = h1.map((b:any)=>Number(b.close));\n const ema25 = emaSeries(closes,25);\n const ema75 = emaSeries(closes,75);\n const last = h1.length-1;\n const lastClose = closes[last];\n const e25 = ema25[last]!;\n const e75 = ema75[last]!;\n const e75m6 = ema75[last-6]!;\n let regime = \"Mixed\";\n if (lastClose > e25 && e25 > e75 && e75 > e75m6) regime = \"Up\";\n else if (lastClose < e25 && e25 < e75 && e75 < e75m6) regime = \"Down\";\n const h1P = pivots(h1);\n const channelType = regime === \"Up\" ? \"L\" : regime === \"Down\" ? \"H\" : null;\n const channelPivots = channelType ? h1P.filter(p=>p.type===channelType).slice(-2) : [];\n const eligible = regime !== \"Mixed\" && channelPivots.length === 2;\n let slopePerHour: number | null = null;\n if (channelPivots.length===2) {\n const dtHours=(channelPivots[1].timestamp-channelPivots[0].timestamp)/3600000;\n slopePerHour=(channelPivots[1].price-channelPivots[0].price)/dtHours;\n }\n const m15P=pivots(m15);\n const n=latestN(m15P,regime);\n const wTarget=n ? n[2].price + (n[1].price-n[0].price) : null;\n results.push({\n sample,\n t0: t0.toISOString(),\n requestFrom: from.toISOString(),\n maxH1Timestamp: iso(Math.max(...h1Filtered.map((b:any)=>Number(b.timestamp)))),\n maxM15Timestamp: iso(Math.max(...m15Filtered.map((b:any)=>Number(b.timestamp)))),\n h1CountUsed:h1.length,\n m15CountUsed:m15.length,\n lastH1Timestamp:iso(h1[last].timestamp),\n lastClose, ema25:e25, ema75:e75, ema75Minus6h:e75m6,\n regime, eligible,\n h1Pivot1:channelPivots[0] ? {type:channelPivots[0].type,time:iso(channelPivots[0].timestamp),price:channelPivots[0].price}:null,\n h1Pivot2:channelPivots[1] ? {type:channelPivots[1].type,time:iso(channelPivots[1].timestamp),price:channelPivots[1].price}:null,\n mSlopePerHour:slopePerHour,\n nPattern:n ? n.map(p=>({type:p.type,time:iso(p.timestamp),price:p.price})) : null,\n wTarget,\n revealAllowed: true,\n safety: {\n allH1BeforeT0: Math.max(...h1Filtered.map((b:any)=>Number(b.timestamp))) < t0.getTime(),\n allM15BeforeT0: Math.max(...m15Filtered.map((b:any)=>Number(b.timestamp))) < t0.getTime()\n }\n });\n}\nconsole.log(JSON.stringify({proxyVersion:\"v13-prestate-1\", results}));\nexport default results;\n",[190],"797f2e42-8789-4c7b-8659-0f64ca883ec0","outcome_v15_sep.ts","c6fdde1a-ab30-11f1-a85c-1607ee4eb77e",18,["D",1788836268200],3,"import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\n\ntype Bar={timestamp:number;open:number;high:number;low:number;close:number;volume?:number};\nconst H6=6*60*60*1000,H12=12*60*60*1000,EPS=1e-9;\nconst states:Record={\n\"2014-09-02\":{regime:\"Up\",eligible:true,pivot2Time:Date.parse(\"2014-09-01T20:00:00Z\"),pivot2Price:173.190,slopePerHour:0.020666666666670608,wTarget:173.352},\n\"2014-09-04\":{regime:\"Down\",eligible:true,pivot2Time:Date.parse(\"2014-09-03T21:00:00Z\"),pivot2Price:172.658,slopePerHour:0.03166666666666629,wTarget:172.473},\n\"2014-09-09\":{regime:\"Mixed\",eligible:false},\n\"2014-09-11\":{regime:\"Up\",eligible:true,pivot2Time:Date.parse(\"2014-09-10T09:00:00Z\"),pivot2Price:171.240,slopePerHour:0.02107142857142971,wTarget:173.386},\n\"2014-09-16\":{regime:\"Mixed\",eligible:false},\n\"2014-09-18\":{regime:\"Up\",eligible:true,pivot2Time:Date.parse(\"2014-09-17T18:00:00Z\"),pivot2Price:175.191,slopePerHour:0.05931250000000077,wTarget:176.696},\n\"2014-09-23\":{regime:\"Mixed\",eligible:false},\n\"2014-09-25\":{regime:\"Up\",eligible:true,pivot2Time:Date.parse(\"2014-09-24T21:00:00Z\"),pivot2Price:178.015,slopePerHour:0.05399999999999799,wTarget:178.114},\n\"2014-09-30\":{regime:\"Mixed\",eligible:false},\n};\nconst iso=(ts:number|null|undefined)=>ts==null?null:new Date(ts).toISOString();\nfunction diag(b:Bar[]){if(!b.length)return null;const hi=Math.max(...b.map(x=>x.high)),lo=Math.min(...b.map(x=>x.low));return{open:b[0].open,high:hi,low:lo,lastClose:b.at(-1)!.close,rangePips:(hi-lo)*100,netPips:(b.at(-1)!.close-b[0].open)*100};}\nconst results:any[]=[];\nfor(const sample of Object.keys(states)){\n const s=states[sample],t0=new Date(`${sample}T00:00:00Z`),end=new Date(t0.getTime()+H12),cut=t0.getTime()+H6;\n const bid15=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:t0,to:end},timeframe:\"m15\",format:\"json\",priceType:\"bid\"} as any) as Bar[]).filter(b=>b.timestamp>=t0.getTime()&&b.timestampa.timestamp-b.timestamp);\n const ask15=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:t0,to:end},timeframe:\"m15\",format:\"json\",priceType:\"ask\"} as any) as Bar[]).filter(b=>b.timestamp>=t0.getTime()&&b.timestampa.timestamp-b.timestamp);\n const base={sample,t0:t0.toISOString(),endExclusive:end.toISOString(),regime:s.regime,eligible:s.eligible,market12h:diag(bid15)};\n if(!s.eligible){results.push({...base,decision:\"NO_TRADE_FROZEN\"});continue;}\n function lineAt(ts:number){return s.pivot2Price+s.slopePerHour*((ts-s.pivot2Time)/3600000);}\n let touch=-1,touchLine:null|number=null,touchDist:null|number=null;\n for(let i=0;i=cut)break;const line=lineAt(b.timestamp);const d=lineb.high?(line-b.high)*100:0;if(d<=10+1e-9){touch=i;touchLine=line;touchDist=d;break;}}\n if(touch<0){results.push({...base,decision:\"NO_TRADE_NO_LOCATION\",lineAtT0:lineAt(t0.getTime()),lineAt6h:lineAt(cut)});continue;}\n let trig=-1;for(let i=touch;i=cut)break;if(s.regime===\"Down\"?b.closeb.open){trig=i;break;}}\n if(trig<0||trig+1>=bid15.length){results.push({...base,decision:\"NO_TRADE_NO_TRIGGER\",touch:{time:iso(bid15[touch].timestamp),line:touchLine,distancePips:touchDist,bar:bid15[touch]}});continue;}\n const trigger=bid15[trig],entryBidBar=bid15[trig+1],entryAskBar=ask15.find(b=>b.timestamp===entryBidBar.timestamp);if(!entryAskBar)throw new Error(`${sample}: missing ask15 entry bar`);\n const entryTime=entryBidBar.timestamp,entryBid=entryBidBar.open,entryAsk=entryAskBar.open;\n const stop=s.regime===\"Down\"?trigger.high+0.05:trigger.low-0.05;\n const targetBehind=s.regime===\"Down\"?s.wTarget>=entryBid:s.wTarget<=entryAsk;\n const ask1=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:t0,to:end},timeframe:\"m1\",format:\"json\",priceType:\"ask\"} as any) as Bar[]).filter(b=>b.timestamp>=t0.getTime()&&b.timestampa.timestamp-b.timestamp);\n const bid1=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:t0,to:end},timeframe:\"m1\",format:\"json\",priceType:\"bid\"} as any) as Bar[]).filter(b=>b.timestamp>=t0.getTime()&&b.timestampa.timestamp-b.timestamp);\n const preAsk=ask1.filter(b=>b.timestampb.timestampb.low<=s.wTarget+EPS):preBid.some(b=>b.high+EPS>=s.wTarget);\n const afterAsk=ask1.filter(b=>b.timestamp>=entryTime),afterBid=bid1.filter(b=>b.timestamp>=entryTime);\n let fullMAE=0,fullMFE=0;if(s.regime===\"Down\"){fullMAE=Math.max(0,(Math.max(...afterAsk.map(b=>b.high))-entryBid)*100);fullMFE=Math.max(0,(entryBid-Math.min(...afterAsk.map(b=>b.low)))*100);}else{fullMAE=Math.max(0,(entryAsk-Math.min(...afterBid.map(b=>b.low)))*100);fullMFE=Math.max(0,(Math.max(...afterBid.map(b=>b.high))-entryAsk)*100);}\n const stopBar=s.regime===\"Down\"?afterAsk.find(b=>b.high+EPS>=stop):afterBid.find(b=>b.low<=stop+EPS);\n const targetRaw=targetBehind?undefined:(s.regime===\"Down\"?afterAsk.find(b=>b.low<=s.wTarget+EPS):afterBid.find(b=>b.high+EPS>=s.wTarget));\n const targetBar=preHit?undefined:targetRaw;\n let terminal=\"NONE\",tt:number|null=null;\n if(targetBehind){terminal=\"TARGET_BEHIND_ENTRY\";}\n else if(preHit){terminal=stopBar?\"PRE_ENTRY_TARGET_HIT_THEN_STOP\":\"PRE_ENTRY_TARGET_HIT\";tt=stopBar?.timestamp??null;}\n else if(stopBar&&targetBar){if(stopBar.timestamp===targetBar.timestamp){terminal=\"AMBIGUOUS_SAME_M1\";tt=stopBar.timestamp;}else if(stopBar.timestampb.timestamp<=tt!);tMAE=Math.max(0,(Math.max(...seg.map(b=>b.high))-entryBid)*100);tMFE=Math.max(0,(entryBid-Math.min(...seg.map(b=>b.low)))*100);}else{const seg=afterBid.filter(b=>b.timestamp<=tt!);tMAE=Math.max(0,(entryAsk-Math.min(...seg.map(b=>b.low)))*100);tMFE=Math.max(0,(Math.max(...seg.map(b=>b.high))-entryAsk)*100);}}\n results.push({...base,decision:s.regime===\"Down\"?\"SIMULATED_SHORT\":\"SIMULATED_LONG\",lineAtT0:lineAt(t0.getTime()),lineAt6h:lineAt(cut),touch:{time:iso(bid15[touch].timestamp),line:touchLine,distancePips:touchDist,bar:bid15[touch]},trigger:{time:iso(trigger.timestamp),bar:trigger},entry:{time:iso(entryTime),bid:entryBid,ask:entryAsk},stopLevel:stop,wTarget:s.wTarget,targetBehindEntry:targetBehind,preEntryTargetHit:preHit,fullWindowMAEPips:fullMAE,fullWindowMFEPips:fullMFE,firstStopBar:stopBar?{time:iso(stopBar.timestamp),bar:stopBar}:null,firstTargetBar:targetRaw?{time:iso(targetRaw.timestamp),bar:targetRaw}:null,terminal,terminalTime:iso(tt),terminalM1BoundedMAEPips:tMAE,terminalM1BoundedMFEPips:tMFE});\n}\nconsole.log(JSON.stringify({proxyVersion:\"v15-sep-outcome-1\",results}));\nexport default results;",[198],"56a4b448-a8a5-4658-bec3-409cb6180038","outcome.ts","629cdbe4-ab2e-11f1-9f8a-1607ee4eb77e",5,["D",1788835113635],"import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\n\ntype Bar = { timestamp: number; open: number; high: number; low: number; close: number; volume?: number };\nconst H12 = 12*60*60*1000;\nconst H6 = 6*60*60*1000;\n\nconst states: Record = {\n \"2014-06-10\": { regime:\"Mixed\", eligible:false },\n \"2014-06-24\": { regime:\"Mixed\", eligible:false },\n \"2014-06-26\": {\n regime:\"Down\", eligible:true,\n pivot2Time: Date.parse(\"2014-06-25T21:00:00Z\"), pivot2Price:173.003,\n slopePerHour:-0.005692307692308636,\n wTarget:172.874,\n },\n};\n\nfunction iso(ts:number|null|undefined){return ts==null?null:new Date(ts).toISOString();}\nfunction rangeDiag(bars:Bar[]){\n if(!bars.length) return null;\n const hi=Math.max(...bars.map(b=>b.high));\n const lo=Math.min(...bars.map(b=>b.low));\n return {open:bars[0].open, high:hi, low:lo, lastClose:bars.at(-1)!.close, rangePips:(hi-lo)*100, netPips:(bars.at(-1)!.close-bars[0].open)*100};\n}\n\nconst results:any[]=[];\nfor(const sample of Object.keys(states)){\n const state=states[sample];\n const t0=new Date(`${sample}T00:00:00Z`);\n const end=new Date(t0.getTime()+H12);\n const bid15=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:t0,to:end},timeframe:\"m15\",format:\"json\",priceType:\"bid\"} as any) as Bar[]).filter(b=>b.timestamp>=t0.getTime()&&b.timestampa.timestamp-b.timestamp);\n const base={sample,t0:t0.toISOString(),endExclusive:end.toISOString(),regime:state.regime,eligible:state.eligible,m15Count:bid15.length,maxM15Timestamp:bid15.length?iso(Math.max(...bid15.map(b=>b.timestamp))):null,market12h:rangeDiag(bid15)};\n if(!state.eligible){\n results.push({...base,decision:\"NO_TRADE_FROZEN\",reason:\"Mixed pre-state; no Entry may be created after reveal.\"});\n continue;\n }\n const cutoff=t0.getTime()+H6;\n function lineAt(ts:number){return state.pivot2Price+state.slopePerHour*((ts-state.pivot2Time)/3600000);}\n let touchIndex=-1;\n let touchLine:number|null=null;\n let touchDistancePips:number|null=null;\n for(let i=0;i=cutoff) break;\n const line=lineAt(b.timestamp);\n const distance = line < b.low ? (b.low-line)*100 : line > b.high ? (line-b.high)*100 : 0;\n if(distance<=10+1e-9){touchIndex=i;touchLine=line;touchDistancePips=distance;break;}\n }\n if(touchIndex<0){\n results.push({...base,decision:\"NO_TRADE_NO_LOCATION\",lineAtT0:lineAt(t0.getTime()),lineAt6h:lineAt(cutoff)});\n continue;\n }\n let triggerIndex=-1;\n for(let i=touchIndex;i=cutoff) break;\n if(state.regime===\"Down\" ? b.closeb.open){triggerIndex=i;break;}\n }\n if(triggerIndex<0 || triggerIndex+1>=bid15.length){\n results.push({...base,decision:\"NO_TRADE_NO_TRIGGER\",touch:{time:iso(bid15[touchIndex].timestamp),line:touchLine,distancePips:touchDistancePips,bar:bid15[touchIndex]}});\n continue;\n }\n const trigger=bid15[triggerIndex];\n const entryBar=bid15[triggerIndex+1];\n const entryTime=entryBar.timestamp;\n const entryBid=entryBar.open;\n const stopLevel=state.regime===\"Down\" ? trigger.high+0.05 : trigger.low-0.05;\n\n const ask1=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:t0,to:end},timeframe:\"m1\",format:\"json\",priceType:\"ask\"} as any) as Bar[]).filter(b=>b.timestamp>=t0.getTime()&&b.timestampa.timestamp-b.timestamp);\n const bid1=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:t0,to:end},timeframe:\"m1\",format:\"json\",priceType:\"bid\"} as any) as Bar[]).filter(b=>b.timestamp>=t0.getTime()&&b.timestampa.timestamp-b.timestamp);\n const preEntryAsk=ask1.filter(b=>b.timestampb.low<=state.wTarget) : bid1.filter(b=>b.timestampb.high>=state.wTarget);\n const afterAsk=ask1.filter(b=>b.timestamp>=entryTime);\n const afterBid=bid1.filter(b=>b.timestamp>=entryTime);\n let fullMAE=0, fullMFE=0;\n if(state.regime===\"Down\"){\n if(afterAsk.length){\n fullMAE=Math.max(0,(Math.max(...afterAsk.map(b=>b.high))-entryBid)*100);\n fullMFE=Math.max(0,(entryBid-Math.min(...afterAsk.map(b=>b.low)))*100);\n }\n } else {\n const entryAsk=(ask1.find(b=>b.timestamp===entryTime)?.open) ?? null;\n if(entryAsk!=null && afterBid.length){\n fullMAE=Math.max(0,(entryAsk-Math.min(...afterBid.map(b=>b.low)))*100);\n fullMFE=Math.max(0,(Math.max(...afterBid.map(b=>b.high))-entryAsk)*100);\n }\n }\n const stopBar = state.regime===\"Down\" ? afterAsk.find(b=>b.high>=stopLevel) : afterBid.find(b=>b.low<=stopLevel);\n const targetBarRaw = state.regime===\"Down\" ? afterAsk.find(b=>b.low<=state.wTarget) : afterBid.find(b=>b.high>=state.wTarget);\n const targetBar = preEntryTargetHit ? undefined : targetBarRaw;\n let terminal=\"NONE\";\n let terminalTime:number|null=null;\n if(stopBar && targetBar){\n if(stopBar.timestamp===targetBar.timestamp){terminal=\"AMBIGUOUS_SAME_M1\";terminalTime=stopBar.timestamp;}\n else if(stopBar.timestampb.timestamp<=terminalTime!);\n terminalMAE=Math.max(0,(Math.max(...segment.map(b=>b.high))-entryBid)*100);\n terminalMFE=Math.max(0,(entryBid-Math.min(...segment.map(b=>b.low)))*100);\n }\n results.push({\n ...base,\n decision:\"SIMULATED_SHORT\",\n lineAtT0:lineAt(t0.getTime()), lineAt6h:lineAt(cutoff),\n touch:{time:iso(bid15[touchIndex].timestamp),line:touchLine,distancePips:touchDistancePips,bar:bid15[touchIndex]},\n trigger:{time:iso(trigger.timestamp),bar:trigger},\n entry:{time:iso(entryTime),bid:entryBid},\n stopLevel,wTarget:state.wTarget,preEntryTargetHit,\n m1AskCount:ask1.length,m1BidCount:bid1.length,\n maxAskTimestamp:ask1.length?iso(Math.max(...ask1.map(b=>b.timestamp))):null,\n fullWindowMAEPips:fullMAE,fullWindowMFEPips:fullMFE,\n firstStopBar:stopBar?{time:iso(stopBar.timestamp),bar:stopBar}:null,\n firstTargetBar:targetBarRaw?{time:iso(targetBarRaw.timestamp),bar:targetBarRaw,countedAsTradeTarget:!preEntryTargetHit}:null,\n terminal,terminalTime:iso(terminalTime),terminalM1BoundedMAEPips:terminalMAE,terminalM1BoundedMFEPips:terminalMFE,\n });\n}\nconsole.log(JSON.stringify({proxyVersion:\"v13-outcome-1\",results}));\nexport default results;\n",[206],"48b664e6-0e26-4ad1-b7f6-4af1ef4268e7","main.ts","80997036-ab2d-11f1-a479-1607ee4eb77e",2,["D",1788834755607],"import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\n\nconst from = new Date(\"2014-06-09T00:00:00Z\");\nconst to = new Date(\"2014-06-10T00:00:00Z\");\nconst data: any[] = await getHistoricalRates({\n instrument: \"gbpjpy\",\n dates: { from, to },\n timeframe: \"m15\",\n format: \"json\",\n priceType: \"bid\",\n} as any);\nconst timestamps = data.map((x: any) => Number(x.timestamp));\nconst result = {\n ok: true,\n count: data.length,\n from: from.toISOString(),\n toExclusive: to.toISOString(),\n firstTimestamp: data.length ? new Date(Math.min(...timestamps)).toISOString() : null,\n maxTimestamp: data.length ? new Date(Math.max(...timestamps)).toISOString() : null,\n maxIsBeforeTo: data.length ? Math.max(...timestamps) < to.getTime() : true,\n first: data[0] ?? null,\n last: data.at(-1) ?? null,\n};\nconsole.log(JSON.stringify(result));\nexport default result;\n",[213],"b996ee21-731d-4574-8288-7dd82fbef994","m_sensitivity_0626.ts","f22bdac6-ab2e-11f1-87a7-1607ee4eb77e",11,["D",1788835354474],"import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\ntype Bar={timestamp:number;open:number;high:number;low:number;close:number};\ntype Pivot={type:\"H\"|\"L\";timestamp:number;price:number};\nconst t0=Date.parse(\"2014-06-26T00:00:00Z\"), cutoff=t0+6*3600000, end=t0+12*3600000, target=172.874;\nconst from=new Date(t0-16*24*3600000);\nconst h1=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to:new Date(t0)},timeframe:\"h1\",format:\"json\",priceType:\"bid\"} as any) as Bar[]).filter(b=>b.timestampa.timestamp-b.timestamp).slice(-225);\nconst bid15=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:new Date(t0),to:new Date(end)},timeframe:\"m15\",format:\"json\",priceType:\"bid\"} as any) as Bar[]).filter(b=>b.timestamp>=t0&&b.timestampa.timestamp-b.timestamp);\nconst ask1=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from:new Date(t0),to:new Date(end)},timeframe:\"m1\",format:\"json\",priceType:\"ask\"} as any) as Bar[]).filter(b=>b.timestamp>=t0&&b.timestampa.timestamp-b.timestamp);\nfunction pivots(b:Bar[]):Pivot[]{const r:Pivot[]=[];for(let i=2;i<=b.length-3;i++){const x=b[i];const H=x.high>b[i-1].high&&x.high>b[i-2].high&&x.high>=b[i+1].high&&x.high>=b[i+2].high;const L=x.lowa.timestamp-b.timestamp);}\nconst hs=pivots(h1).filter(p=>p.type===\"H\").slice(-6);\nfunction d(b:Bar,l:number){return (lb.high?l-b.high:0)*100}\nfunction iso(x:number|null){return x==null?null:new Date(x).toISOString()}\nconst rows:any[]=[];\nfor(let i=0;i=0)continue;\n const line=(ts:number)=>b.price+slope*((ts-b.timestamp)/3600000);\n let ti=-1,dist:number|null=null;for(let k=0;k=cutoff)break;const dd=d(bar,line(bar.timestamp));if(dd<=10+1e-9){ti=k;dist=dd;break;}}\n if(ti<0){rows.push({a:iso(a.timestamp),ap:a.price,b:iso(b.timestamp),bp:b.price,slope,lineT0:line(t0),decision:\"NO_LOCATION\"});continue;}\n let tr=-1;for(let k=ti;k=cutoff)break;if(bar.close=bid15.length){rows.push({a:iso(a.timestamp),b:iso(b.timestamp),slope,lineT0:line(t0),touch:iso(bid15[ti].timestamp),distancePips:dist,decision:\"NO_TRIGGER\"});continue;}\n const trigger=bid15[tr],entryTs=bid15[tr+1].timestamp,entryBid=bid15[tr+1].open,stop=trigger.high+0.05;\n const pre=ask1.filter(x=>x.timestampx.low<=target);\n const post=ask1.filter(x=>x.timestamp>=entryTs);const tb=pre?null:(post.find(x=>x.low<=target)||null);const sb=post.find(x=>x.high>=stop)||null;let terminal=\"NONE\";if(tb&&sb)terminal=tb.timestampsb.timestamp?\"STOP_FIRST\":\"AMBIG\";else if(tb)terminal=\"TARGET_FIRST\";else if(sb)terminal=\"STOP_FIRST\";\n rows.push({a:iso(a.timestamp),ap:a.price,b:iso(b.timestamp),bp:b.price,slope,lineT0:line(t0),touch:iso(bid15[ti].timestamp),distancePips:dist,trigger:iso(trigger.timestamp),entry:iso(entryTs),entryBid,stop,preEntryTargetHit:pre,targetTime:tb?iso(tb.timestamp):null,stopTime:sb?iso(sb.timestamp):null,terminal});\n}\nconsole.log(JSON.stringify(rows));\nexport default rows;\n",[220],"c95e0a9d-645c-40a1-b2f9-986142e40a73","fullpath_0626.ts","c17e7942-ab2e-11f1-b7b1-1607ee4eb77e",9,["D",1788835272820],"import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\nconst from=new Date(\"2014-06-26T00:15:00Z\"),to=new Date(\"2014-06-26T12:00:00Z\"),entry=172.899;\nconst ask:any[]=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to},timeframe:\"m1\",format:\"json\",priceType:\"ask\"} as any) as any[]).filter(b=>b.timestamp>=from.getTime()&&b.timestampa.timestamp-b.timestamp);\nconst maxBar=ask.reduce((a,b)=>b.high>a.high?b:a); const minBar=ask.reduce((a,b)=>b.lowa.timestamp-b.timestamp);\nconst rows=bid1.filter(b=>b.timestamp>=Date.parse(\"2014-09-25T03:10:00Z\")&&b.timestamp({time:new Date(b.timestamp).toISOString(),open:b.open,high:b.high,low:b.low,close:b.close}));\nconst first=rows.find(r=>r.low<=178.079)??null;\nconst ticks:any[]=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to},timeframe:\"tick\",format:\"json\"} as any) as any[]).sort((a,b)=>a.timestamp-b.timestamp);\nconst st=ticks.find(t=>Number(t.bidPrice)<=178.079)??null;\nconsole.log(JSON.stringify({firstM1:first,m1Around:rows.filter(r=>r.low<=178.10),firstTick:st?{time:new Date(st.timestamp).toISOString(),bid:st.bidPrice,ask:st.askPrice}:null}));\nexport default true;",[234],"1021c834-d4ee-40a7-8e8d-0d16f715e924","alternatives_0626.ts","bf822396-ab2e-11f1-86e3-1607ee4eb77e",8,["D",1788835269448],"import { getHistoricalRates } from \"npm:dukascopy-node@1.50.0\";\ntype Bar={timestamp:number;open:number;high:number;low:number;close:number};\ntype Pivot={type:\"H\"|\"L\";timestamp:number;price:number;index:number};\nconst t0=new Date(\"2014-06-26T00:00:00Z\");\nconst from=new Date(t0.getTime()-16*24*3600000);\nconst h1=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to:t0},timeframe:\"h1\",format:\"json\",priceType:\"bid\"} as any) as Bar[]).filter(b=>b.timestampa.timestamp-b.timestamp).slice(-225);\nconst m15=(await getHistoricalRates({instrument:\"gbpjpy\",dates:{from,to:t0},timeframe:\"m15\",format:\"json\",priceType:\"bid\"} as any) as Bar[]).filter(b=>b.timestampa.timestamp-b.timestamp).slice(-384);\nfunction pivots(bars:Bar[]):Pivot[]{const r:Pivot[]=[];for(let i=2;i<=bars.length-3;i++){const b=bars[i];const H=b.high>bars[i-1].high&&b.high>bars[i-2].high&&b.high>=bars[i+1].high&&b.high>=bars[i+2].high;const L=b.lowa.timestamp-b.timestamp);}\nconst hp=pivots(h1).filter(p=>p.type===\"H\");\nconst mp=pivots(m15);\nconst highs=hp.slice(-6).map(p=>({time:new Date(p.timestamp).toISOString(),price:p.price}));\nconst channelPairs:any[]=[];\nfor(let i=Math.max(0,hp.length-6);i

Diff · v20